Publication Details
Virtual Mobile Robot Localization
CONDENSATION, Sequential Monte Carlo methods, localization, navigation
This paperdeals with the fundamental problem in mobile robotics. Accurateknowledge about self-position relative to the environment is inmany cases essential for the robot to be able to plan future actions. Theinformation used by the robot to obtain knowledge about its position is always tosome extent inaccurate and thereby the localization problem is transformed intoestimation of probability density function of current robot state. In thispaper, the use of CONDENSATION algorithm for robot localization in known environmentis discussed and a framework for simulation of mobile robot, which can be usedfor experiments and classroom demonstrations, is presented.
@inproceedings{BUT192635,
author="Michal {Hradiš}",
title="Virtual Mobile Robot Localization",
booktitle="Proceedings of the 13th Conference STUDENT EEICT 2007",
year="2007",
pages="80--82",
publisher="Brno University of Technology",
address="Brno",
isbn="978-80-214-3408-0",
url="http://www.feec.vutbr.cz/EEICT/2007/sbornik/02-magisterske_projekty/03-kybernetika_a_automatizace/01-xhradi05.pdf"
}